Graph convolutional network model with a feature compensation module and dual-channel second-order pooling module for multimodal emotion recognition in conversation
Abstract Multimodal emotion recognition in conversation (MERC) involves predicting the emotion category of a conversation on the basis of textual, acoustic, and visual modalities. Information from these diverse modalities can reinforce each other to enhance the accuracy of emotion prediction. Howeve...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00091-6 |
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